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Human-AI Synergy in Ethical Content Moderation: Navigating Fairness, Accountability, and Transparency Challenges
Abstract
The rapid growth of digital platforms has highlighted the need for robust content moderation systems that manage large content volumes while addressing human moderators' mental health. This study explores AI's evolving role in content moderation, emphasizing collaboration with human moderators for nuanced judgments. AI can identify harmful content trends, but human oversight is needed for contextual accuracy. However, AI raises ethical issues, such as bias from prejudiced training data, potentially harming marginalized groups. To improve accountability, the study suggests using diverse datasets, transparent decision-making, and explainable AI. Regulatory frameworks and mental health support for moderators are also essential for fair, transparent content moderation.
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